Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Patricia Grubel"'
Autor:
Jacob Tronge, Patricia Grubel, Timothy Randles, Quincy Wofford, Rusty Davis, Steven Anaya, Qiang Guan
Publikováno v:
2021 IEEE 28th International Conference on High Performance Computing, Data, and Analytics (HiPC).
Autor:
Jake Tronge, Jieyang Chen, Patricia Grubel, Tim Randles, Rusty Davis, Quincy Wofford, Steven Anaya, Qiang Guan
Publikováno v:
2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE).
Autor:
Boyana Norris, David E. Bernholdt, Reed Milewicz, Stephen Hudson, Rebecca Hartman-Baker, Patricia Grubel, Christoph Junghans, Osni Marques, Jared O'Neal, Anshu Dubey, Satish Balay, Alicia Klinvex, Jean Schuler, Elsa Gonsiorowski, Hai Ah Nam, John David Moulton, Roscoe A. Bartlett, Todd Gamblin, Rinku Gupta, Michael A. Heroux, Paul Wolfenbarger, James M. Willenbring, Barry Smith, Katherine Riley, Ben Sims, Elaine M. Raybourn, Lisa Childers, Louis J. Vernon, Gregory R. Watson, Lois Curfman McInnes, Mark C. Miller, Judith Hill
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0be0c0c57a76eb1b757c2c18f9f1a1ce
https://doi.org/10.2172/1606662
https://doi.org/10.2172/1606662
Publikováno v:
The Journal of Supercomputing. 74:665-695
Cache has long been used to minimize the latency of main memory accesses by storing frequently used data near the processor. Processor performance depends on the underlying cache performance. Therefore, significant research has been done to identify
Autor:
David Pfander, Matthias Kretz, Juhan Frank, Dominic Marcello, Geoffrey C. Clayton, Patricia Grubel, Kevin Huck, Adrian Serio, David C. Eder, Thomas Heller, Dirk Pflüger, John Biddiscombe, Hartmut Kaiser, Bryce Adelstein Lelbach, Alice Koniges
We present a highly scalable demonstration of a portable asynchronous many-task programming model and runtime system applied to a grid-based adaptive mesh refinement hydrodynamic simulation of a double white dwarf merger with 14 levels of refinement
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56a4a4afb640e594a2b80eb482445444
https://opus4.kobv.de/opus4-fau/files/13661/10.1177_1094342018819744.pdf
https://opus4.kobv.de/opus4-fau/files/13661/10.1177_1094342018819744.pdf
Autor:
Zizhong Chen, Timothy Randles, Jieyang Chen, Allen McPherson, Patricia Grubel, Qiang Guan, James Ahrens, Paul James Bryant, Li-Ta Lo, Xin Liang
Publikováno v:
IEEE BigData
Variations in High Performance Computing (HPC) system software configurations mean that applications are typically configured and built for specific HPC environments. Building applications can require a significant investment of time and effort for a
Autor:
Louis J. Vernon, Zizhong Chen, Allen McPherson, Li-Ta Lo, Zhao Zhang, Qiang Guan, Xin Liang, Jieyang Chen, Patricia Grubel, James Ahrens, Timothy Randles
Publikováno v:
ICDCS
In this paper, we propose BeeFlow – an in situ analysis enabled workflow management system across multiple platforms using Docker containers. BeeFlow can support both traditional workflows as well as workflows with in situ analysis. BeeFlow leverag
Publikováno v:
SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI
Computer architects have been utilizing cache hierarchies to improve performance by minimizing latency of main memory accesses via caching frequently used data closer to the core. The majority of prior research focuses on measuring cache hit rates an
Publikováno v:
2016 International Conference on Computational Science and Computational Intelligence (CSCI).
Cache hierarchies have long been utilized to minimize the latency of main memory accesses by caching frequently used data closer to the processor. Significant research has been done to identify the most crucial metrics of cache performance. Though th
Publikováno v:
CLUSTER
As High Performance Computing moves toward Exascale, where parallel applications will be expected to run on millions of cores concurrently, every component of the computational model must perform optimally. One such component, the task scheduler, can